About me

Since March 2014 I have been a researcher in the STARS team at INRIA Méditerranée in Sophia Antipolis, France.

My research is in computer vision and machine learning. My latest results deal with health monitoring and specifically with recognition of facial dynamics in Alzheimer's disease patients.

I am also interested and involved in other areas, such as combining image processing and statistics towards analysis and algorithmic design of soft biometrics systems, video surveillance systems, beauty estimation, as well as the impact of facial cosmetics on automated biometric systems.


  • We are organizing a special session on The Future of Biometrics beyond Recognition and Anti-Spoofing at the 12th IAPR International Conference on Biometrics (ICB'19). For details, see here.
  • I was interviewed for an aticle in Charlie Hebdo on facial recognition, see the full article here.
  • We are organizing a special session on Human Health Monitoring based on Computer Vision at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG'19). For details, see here.
  • We (Abhijit Das, Antitza Dantcheva, Francois Bremond) won the ECCV'18 challenge on bias estimation in face analysis (BEFA). The challenge placed focus on a pertinent, but largely neglected issue - the biasness of face analytics datasets, with respect to factors such as age, gender, ethnicity, pose and resolution. In order to progress toward balanced face recognition and attribute estimation truly in the wild, the BEFA - challenge introduced a well-balanced dataset across multiple factors: age, gender, ethnicity, pose and resolution and requested for algorithms to estimate biases.
    We proposed a Multi-Task Convolutional Neural Network (MTCNN) algorithm that jointly learned gender, age and ethnicity by a loss function involving joint dynamic loss weight adjustment and was successful, as well as relatively unbiased in estimating age, gender and ethnicity. More details here.
  • We found a Ph.D. student in the area of Computer Vision and Deep Learning applied to Facial Analysis in invisibe spectra.
  • We are organizing a special session on mobile biometrics at the 9th international conference on biometrics: theory, applications and systems (BTAS'18). For details, see here.
  • Our Inria - Chinese Academy of Sciences joint research project FER4HM launched, see here.
  • My ANR JCJC research project ENVISION launched, see the related website here.
  • I was interviewed for an aticle in Le Monde on biometrics, see the full article here.